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510(k) Data Aggregation

    K Number
    K133608
    Device Name
    TRINIA
    Manufacturer
    Date Cleared
    2014-03-14

    (109 days)

    Product Code
    Regulation Number
    872.3690
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Fiber Disks and Blocks (TRINIA) are milling blanks composed of a multi-directional interlacing of fiberglass and resin in several layers. They are intended to be used solely by dental technicians and dentists for making copings, substructures, removable dentures, or frameworks for permanent and transitional anterior or posterior crowns, bridgework, and substructures that can be for either cemented or uncemented restorations (e.g. telescopic restorations).

    Device Description

    TRINIA is a fiber machining disk block. It is made of layers of glass fibers kept together by epoxy resin. TRINIA products are designed for the manufacturing of non-metallic dental appliances. The dental appliance is machined either by a CAD/CAM machine or by using the copying technique. TRINIA already possesses the mechanical characteristics needed for producing these dental appliances; no curing is necessary at the dental lab to make the product function properly.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the TRINIA dental device:

    1. Table of Acceptance Criteria and Reported Device Performance:

    The document establishes acceptance criteria by demonstrating that TRINIA's physical properties and biocompatibility are comparable to or exceed those of the predicate device. For some tests, direct comparison to the predicate is available, while for others, the "acceptance criteria" can be inferred to be the reported result itself, as these values demonstrate the device's inherent mechanical and biological characteristics, which are deemed acceptable.

    Test NameAcceptance Criteria (Predicate or Implicit)Reported Device Performance (TRINIA)Units
    Flexural strength≥ 302 MPa (Predicate)393MPa (N/mm²)
    Flexural strain at max stress< 5.5% (Predicate - lower is better)2.7%
    Flexural modulus of elasticity≥ 12.6 GPa (Predicate)18.8GPa
    Tensile strengthNot Specified (Implicit: acceptable value)169MPa (N/mm²)
    Tensile modulus of elasticityNot Specified (Implicit: acceptable value)18.8GPa
    Compression strengthNot Specified (Implicit: acceptable value)347MPa (N/mm²)
    Charpy impactNot Specified (Implicit: acceptable value)26KJ/m²
    Rockwell hardness (R scale)Not Specified (Implicit: acceptable value)125
    Barcol hardnessNot Specified (Implicit: acceptable value)63
    Shore hardnessNot Specified (Implicit: acceptable value)92.5
    Density / Specific gravityNot Specified (Implicit: acceptable value)1.68g/cm³
    Water absorptionNot Specified (Implicit: acceptable value)0.03%
    Short beam shearNot Specified (Implicit: acceptable value)49N/mm²
    Biocompatibility
    GenotoxicityNon-mutagenic (Standard)Non-mutagenic
    CytotoxicityNon-cytotoxic (Standard)Non-cytotoxic
    Irritation/ReactivityNon-irritant (Standard)Non-irritant
    Acute Systemic ToxicityNon-toxic (Standard)Non-toxic

    2. Sample Size Used for the Test Set and Data Provenance:

    The document does not explicitly state the sample sizes used for each physical property test. It mentions that "Testing has been performed to the standards listed in the 'Description of the performance aspects' section." These standards (e.g., ISO 14125, ASTM D3039) typically prescribe specific sample sizes for their respective tests. Without direct access to the full test reports, the exact sample sizes are not known from this summary.

    The data provenance is not explicitly stated in terms of country of origin but is implied to be from internal testing conducted by Bicon, LLC (USA-based company). The testing is retrospective, presenting results of already completed tests.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts:

    This information is not applicable to this type of device and study. The "ground truth" for material properties is established by the standardized testing methods themselves, which produce objective, measurable results, not by expert consensus or interpretation in the same way clinical diagnostic studies do.

    4. Adjudication Method for the Test Set:

    This is not applicable. As the testing involves objective measurement of physical and chemical properties according to established standards, there is no need for an adjudication method by experts.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study:

    No, an MRMC comparative effectiveness study was not done. This type of study is relevant for diagnostic imaging or interpretation tasks where human readers' performance is being evaluated and compared, often with and without AI assistance. This device is a dental material, not a diagnostic tool requiring human interpretation.

    6. Standalone (Algorithm Only) Performance:

    No, a standalone (algorithm only) performance study was not done. This concept is also not applicable to a physical dental material. The "performance" here refers to the material's physical and biological properties, not an algorithm's output.

    7. Type of Ground Truth Used:

    The "ground truth" for this device's evaluation is primarily based on objective, quantitative measurements obtained via recognized international and national standards (ISO, ASTM) for physical properties and biocompatibility testing criteria (ISO 10993 series). The values obtained from these tests serve as the "ground truth" against which the device's performance is assessed.

    8. Sample Size for the Training Set:

    This information is not applicable. This is a physical material, not an AI/ML algorithm that requires a "training set" in the conventional sense. The "development" or "design" of the material might involve experimentation and iteration, but this is distinct from an algorithm training process.

    9. How the Ground Truth for the Training Set Was Established:

    This information is not applicable for the same reasons as point 8.

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